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apify-content-analytics

Track engagement metrics, measure campaign ROI, and analyze content performance across Instagram, Facebook, YouTube, and TikTok.

62

Quality

73%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Advisory

Suggest reviewing before use

Optimize this skill with Tessl

npx tessl skill review --optimize ./plugins/antigravity-awesome-skills-claude/skills/apify-content-analytics/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

64%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This is a functional skill with strong actionability—concrete commands, specific Actor IDs, and clear error handling. Its main weaknesses are the lack of validation checkpoints in the workflow (e.g., verifying schema fetch results or validating run output before summarizing) and some verbosity in the Actor lookup table and boilerplate limitations section. The progressive disclosure could be improved by moving the large reference table to a separate file.

Suggestions

Add validation checkpoints after Step 2 (verify schema was fetched successfully) and after Step 4 (verify the run completed and returned expected data before summarizing).

Move the large Actor lookup table to a separate reference file (e.g., ACTORS.md) and keep only a brief summary or the most common actors inline.

Remove or significantly trim the generic 'Limitations' section—these are general agent guidelines Claude already knows, not skill-specific constraints.

DimensionReasoningScore

Conciseness

The skill is reasonably efficient but includes some unnecessary elements: the large Actor table could be more compact, the limitations section contains generic boilerplate that doesn't add value, and the 'When to Use' section partially restates the obvious. The checklist and workflow steps are mostly lean though.

2 / 3

Actionability

Provides fully executable bash commands for each step, concrete Actor IDs in a lookup table, specific CLI flags and options, and clear error handling with resolutions. The commands are copy-paste ready with clear placeholder substitution patterns.

3 / 3

Workflow Clarity

The 5-step workflow is clearly sequenced with a progress checklist, but lacks validation checkpoints. There's no step to verify the Actor schema was fetched correctly, no validation of the JSON input before running, and no feedback loop if the run produces unexpected or empty results. The error handling section is separate rather than integrated into the workflow.

2 / 3

Progressive Disclosure

The skill references `${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js` but no bundle files are provided to verify this exists. The Actor table is quite large and could be split into a reference file. The content is reasonably structured with clear sections but the inline table makes the skill longer than necessary.

2 / 3

Total

9

/

12

Passed

Description

82%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This is a strong description with specific actions, relevant platforms, and good natural trigger terms that users would actually say. Its main weakness is the absence of an explicit 'Use when...' clause, which would help Claude know precisely when to select this skill. Adding trigger guidance would elevate this from good to excellent.

Suggestions

Add a 'Use when...' clause such as 'Use when the user asks about social media analytics, engagement rates, follower growth, campaign performance, or mentions Instagram, Facebook, YouTube, or TikTok metrics.'

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: 'Track engagement metrics', 'measure campaign ROI', and 'analyze content performance', along with specific platforms (Instagram, Facebook, YouTube, TikTok).

3 / 3

Completeness

Clearly answers 'what does this do' with specific actions and platforms, but lacks an explicit 'Use when...' clause or equivalent trigger guidance, which caps this at 2 per the rubric guidelines.

2 / 3

Trigger Term Quality

Includes strong natural keywords users would say: 'engagement metrics', 'campaign ROI', 'content performance', and specific platform names (Instagram, Facebook, YouTube, TikTok) that users would naturally mention.

3 / 3

Distinctiveness Conflict Risk

The combination of social media analytics, specific platforms, and marketing-specific terms (campaign ROI, engagement metrics) creates a clear niche that is unlikely to conflict with other skills.

3 / 3

Total

11

/

12

Passed

Validation

90%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

10

/

11

Passed

Repository
sickn33/antigravity-awesome-skills
Reviewed

Table of Contents

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